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The Global Mental Health Assessment Tool Primary Care and General Health Setting Version (GMHAT/PC) – Spanish version: A validity and feasibility studyTejada, Paola A.; Jaramillo, Luís Eduardo; Marulanda, Jefferson; Sharma, Vimal; University of Chester; National University of Colombia; Cheshire and Wirral NHS Foundation Trust (University of Zaragoza, 2016-08-31)The study aims to assess the feasibility of using a computer assisted diagnostic interview by GPs and to examine the level of agreement between the Spanish version GMHAT/PC diagnosis and psychiatrists' ICD-10 based clinical diagnosis. Participants in the study ranged from those who were in remission to others who had different mental illnesses. They were recruited from inpatient and outpatient mental health settings. All consecutive patients were interviewed using Spanish version of GMHAT/PC and they were assessed independently by psychiatrists to in order to get their ICD-10 based diagnosis. Two hundred ninety-nine patients participated in the study. The mean duration of interview was 12.5 minutes. There is an acceptable to good level of agreement between the GP’s (GMHAT/PC) diagnoses and the psychiatrists’ (clinical) diagnoses of any mental illness, Kappa 0.58 95% C.I (0.46, 0.72). There is good level of sensitivity (81%) and specificity (92%), with GPs correctly identifying 242 out of the 250 participants diagnosed with mental illness and 27 out of 35 of those without. The finding of the study suggest that GMHAT/PC Spanish version used by GPs detected mental disorders accurately and it was feasible to use GMHAT/PC (Spanish version) in Latin America settings.
The Global Mental Health Assessment Tool Primary Care and General Health Setting Version (GMHAT/PC): A validity and feasibility study – Spanish versionSharma, V. K.; Tejada, Paola A. (University of Chester, 2017)BACKGROUND: There is an urgent need to provide training and tools to frontline health workers in order for them to properly diagnose and treat mental illnesses in Latin-American communities, since the vast majority of people with a mental illness suffer in silence. A computer-assisted interview, the Global Mental Health Assessment Tool (GMHAT/PC) has been developed to assist general practitioners and other health professionals to make a quick, convenient, yet reasonably comprehensive and standardised mental health assessment. GMHAT/PC has been translated into various languages including German, Dutch, Chinese, Hindi and Arabic. This is the first study, of a GMHAT/PC Spanish version carried out in Latin America, to establish its validity in that culture and feasibility to be used in the health care setting. If proven a valid tool through this study, the GMHAT/PC Spanish version will be an important aid towards improving the mental health of Spanish-speaking communities within the Latin-American region. AIM: The study aims at assessing both the validity of a GMHAT/PC Spanish version, and the feasibility of utilising a computer assisted diagnostic interview by GPs. DESIGN: 1) Validation study was planned to establish whether the GMHAT/PC based diagnosis compares well with the consultants ICD-10 based diagnosis (Gold Standard) 2) Feasibility study was carried out to examine whether GMHAT/PC can be used in routine clinical care in a general health setting. MATERIALS AND METHODS: In the first study (validation), participants varied from those who were in remission i.e. without much psychopathology to those had symptoms of a severe mental illness. They were recruited from in-patient (82%) and out-patient (18%) mental health settings in Colombia. The participants were expected to have a wide range of psychiatric diagnoses (anxiety disorders, depression, psychosis, bipolar affective disorder, organic mental disorders, and other diagnoses). All consecutive patients were interviewed by GPs using GMHAT/PC and psychiatrists made an independent diagnosis applying ICD-10 criteria. The second study (feasibility) was carried out on patients hospitalised at medical, surgical and women’s wards during a period of one month in each service. The diagnosis of a medical illness was made by specialists in each service. A trained GP carried out psychiatric assessment of all participants using GMHAT/PC. RESULTS: First study (validity): two hundred ninety-nine patients (n=299) participated, 54.18% males and 45.81% females in the age range of 14-78. All patients were interviewed independently by seven psychiatrists with over five years of clinical experience. The mean duration of GMHAT/PC interview was 12.5 minutes. Most patients were pleased that they were asked about every aspect of their mental health. Psychiatrists made a single diagnosis in 183 (61%) cases, multiple (two) diagnosis in 112 (37%) cases and multiple (three) diagnosis in another four cases. GMHAT/PC in almost all cases gave additional multiple diagnoses.The results show an acceptable-to-good level of agreement between the GPs’ (GMHAT/PC) diagnoses and the psychiatrists’ (clinical) diagnoses of any mental illness, Kappa 0.58- 95% C.I (0.46, 0.72). There is a good level of sensitivity (81%) and specificity (92%), with GPs correctly identifying 242 out of the 250 participants diagnosed with a mental illness, and 27 out of 35 of those who do not present any whatsoever. The agreement (kappa value) between GMHAT/PC diagnosis and psychiatrists ICD-10 based diagnosis of specific disorders were as follows: Organic disorders-0.87; Psychosis- 0.56; Depression-0.53; Mania-0.6, Alcohol and drug misuse- 0.62, Learning disorder- 0.4; Personality Disorder- 0.39 and Anxiety disorders- 0.14. The sensitivity of different disorders ranged from 63% (Mania) to 100% (Anxiety) and specificity from 71% (Anxiety) to 100% (organic). The second study (feasibility): out of 455 medically-ill patients, 4.8% had a mental illness identified by GMHAT/PC interview. Anxiety, depression and organic disorders were the most frequently identified mental disorders in internal medicine and surgery. Cancer had a significantly higher prevalence of comorbid mental illness. CONCLUSION: GMHAT/PC -Spanish version used by GPs in this study detected mental disorders accurately and it was feasible to use GMHAT/PC in Colombia and Latin-American health settings. The findings of this study will have a big impact upon mental health service provision in Spanish-speaking nations within the Latin-American region as the Spanish version for GMHAT/PC will assist primary care physicians and other health workers in detecting and managing mental health disorders in the communities. There is no other comparable easy-to-use comprehensive mental health diagnostic tool available in Spanish.
Psychiatric morbidity in medically ill patients using Spanish version of GMHAT/PCTejada, Paola A.; Jaramillo, Luís Eduardo; Polo, Gilberto; Sharma, Vimal; University of Chester (Taylor and Francis, 2016-12-14)The study aimed to assess psychiatric morbidity in medically ill patients and to examine the use of GMHAT/PC Spanish version in a general health setting. We recruited patients who were hospitalized at the services of Internal Medicine, Surgery and G/O during a period of 1 month for each service. The diagnosis of a medical illness was supported by specialists in each service. A trained GP conducted a psychiatric assessment of all the participants using GMHAT/PC. The interview was carried out at patients’ bedside. Of 455 medically ill patients, 4.8% had a mental illness identified by GMHAT/PC interview. Anxiety, depression and organic disorders were the most frequently identified mental disorders in internal medicine and surgery. Cancer had a significantly higher prevalence of comorbid mental illness. In this study the proportion of medically ill with mental disorders was less compared to other studies. The GMHAT/PC is more close to identifying clinical cases of mental illness and also patients who need help. The GMHAT is more a diagnostic instrument than a screening instrument. Physicians and practitioners can be trained to identify mental illness using computer-assisted tools such as GMHAT/PC. A holistic approach of providing care to such patients may improve their overall outcome and quality of life.